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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bringing genetics and biochemistry to crop modelling, and vice versa
Xinyou Yin, C. Gerard van der Linden, P.C. Struik
European Journal of Agronomy (2018) Vol. 100, pp. 132-140
Closed Access | Times Cited: 23

Showing 23 citing articles:

Towards a multiscale crop modelling framework for climate change adaptation assessment
Bin Peng, Kaiyu Guan, Jinyun Tang, et al.
Nature Plants (2020) Vol. 6, Iss. 4, pp. 338-348
Closed Access | Times Cited: 223
Improving process-based crop models to better capture genotype×environment×management interactions
Enli Wang, Hamish Brown, G. J. Rebetzke, et al.
Journal of Experimental Botany (2019) Vol. 70, Iss. 9, pp. 2389-2401
Closed Access | Times Cited: 62
Exploring natural genetic variation in photosynthesis-related traits of barley in the field
Yanrong Gao, M. Stein, Lilian Oshana, et al.
Journal of Experimental Botany (2024) Vol. 75, Iss. 16, pp. 4904-4925
Open Access | Times Cited: 5
Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time
Jinhan Zhang, Shaoyuan Zhang, Yubin Yang, et al.
Plant Phenomics (2025), pp. 100007-100007
Open Access
Heliaphen, an Outdoor High-Throughput Phenotyping Platform for Genetic Studies and Crop Modeling
Florie Gosseau, Nicolas Blanchet, Didier Varès, et al.
Frontiers in Plant Science (2019) Vol. 9
Open Access | Times Cited: 40
Functional–Structural Plant Models Mission in Advancing Crop Science: Opportunities and Prospects
Soualihou Soualiou, Zhiwei Wang, Weiwei Sun, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 31
A Land Evaluation Framework for Agricultural Diversification
Ebrahim Jahanshiri, Nur Marahaini Mohd Nizar, Tengku Adhwa Syaherah Tengku Mohd Suhairi, et al.
Sustainability (2020) Vol. 12, Iss. 8, pp. 3110-3110
Open Access | Times Cited: 31
Ability of alleles of PPD1 and VRN1 genes to predict flowering time in diverse Australian wheat (Triticum aestivum) cultivars in controlled environments
Maxwell T. Bloomfield, James Hunt, Ben Trevaskis, et al.
Crop and Pasture Science (2018) Vol. 69, Iss. 11, pp. 1061-1061
Closed Access | Times Cited: 29
A framework for genomics-informed ecophysiological modeling in plants
Diane Wang, Carmela R. Guadagno, Xiaowei Mao, et al.
Journal of Experimental Botany (2019) Vol. 70, Iss. 9, pp. 2561-2574
Open Access | Times Cited: 22
Modeling Water and Nitrogen Balance of Different Cropping Systems in the North China Plain
Shah Jahan Leghari, Kelin Hu, Hao Liang, et al.
Agronomy (2019) Vol. 9, Iss. 11, pp. 696-696
Open Access | Times Cited: 22
Modelling plants across scales of biological organisation for guiding crop improvement
Alex Wu
Functional Plant Biology (2023) Vol. 50, Iss. 6, pp. 435-454
Open Access | Times Cited: 6
A model-based approach to analyse genetic variation in potato using standard cultivars and a segregating population. I. Canopy cover dynamics
Muhammad Sohail Khan, P.C. Struik, P.E.L. van der Putten, et al.
Field Crops Research (2019) Vol. 242, pp. 107581-107581
Open Access | Times Cited: 14
Incorporating a dynamic gene-based process module into a crop simulation model
Fabio A. A. Oliveira, James W. Jones, Willingthon Pavan, et al.
in silico Plants (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 12
Recent advances in crop modelling to support sustainable agricultural production and food security under global change
Peter J. Thorburn, Kenneth J. Boote, Claas Nendel, et al.
European Journal of Agronomy (2018) Vol. 100, pp. 1-3
Closed Access | Times Cited: 13
Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering: A Multi-Model Analysis
Yubin Yang, Lloyd T. Wilson, Tao Li, et al.
Field Crops Research (2021) Vol. 276, pp. 108394-108394
Open Access | Times Cited: 11
Photoperiod-sensitivity genes (Ppd-1): Quantifying their effect on the photoperiod response model in wheat
Thomas I Pérez-Gianmarco, Alan D. Severini, Fernanda G. González
Journal of Experimental Botany (2019)
Open Access | Times Cited: 10
Calibration and Validation of the AquaCrop Model to Estimate Maize Production in Campos Gerais, Paraná State, Brazil
Jorge Luiz Moretti de Souza, Cibelle Tamiris de Oliveira, Stefanie Lais Kreutz Rosa, et al.
Revista Brasileira de Meteorologia (2020) Vol. 35, Iss. 2, pp. 243-253
Open Access | Times Cited: 5
A framework for genomics-informed ecophysiological modeling in plants
Diane Wang, Carmela R. Guadagno, Xiaowei Mao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 3
Genomic Insights on Global Journeys of Adaptive Wheat Genes that Brought Us to Modern Wheat
Deepmala Sehgal, Laura E. Dixon, Diego Pequeño, et al.
Compendium of plant genomes (2023), pp. 213-239
Closed Access | Times Cited: 1
Characterizing Genotype-Specific Rice Architectural Traits Using Smart Mobile App and Data Modeling
Yubin Yang, Livia Paleari, Lloyd T. Wilson, et al.
Agronomy (2021) Vol. 11, Iss. 12, pp. 2428-2428
Open Access | Times Cited: 3
Polymorphisms in alternative oxidase genes from ecotypes of Arabidopsis and rice revealed an environment‐induced linkage to altitude and rainfall
Karine Leitão Lima Thiers, João Hermínio Martins da Silva, Disraeli Vasconcelos, et al.
Physiologia Plantarum (2022) Vol. 175, Iss. 1
Closed Access | Times Cited: 2
INCORPORATING A DYNAMIC GENE-BASED PROCESS MODULE INTO A CROP SIMULATION MODEL
Fabio A. A. Oliveira, James W. Jones, Willingthon Pavan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
USO DO SOFTWARE AQUACROP PARA SIMULAR A RESPOSTA DO FEIJÃO À DIFERENTES REGIMES DE IRRIGAÇÃO
Monalisa Soares Costa, Everardo Chartuni Mantovani, Fernanda Lâmede Ferreira de Jesus, et al.
Irriga (2021) Vol. 1, Iss. 3, pp. 557-572
Open Access | Times Cited: 2
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